Queer Coded: Supervised ML to Predict LGBTQ+ Acceptance in American Neighborhoods

Final Project Progress Memo 2– STAT 301-3 Data Science 3 with R

Author

Vlad Nevirkovets, Sean Pascoe, Dylan Yan

Published

May 21, 2023

Github Repo Link

https://github.com/STAT301-3-2023SP/final-project-central-limit-heros

Feature Engineering Progress

Variable Transformations and Selection

As noted in the previous memo, we have applied a logarithmic transformation with base 10 to the outcome variable due to the transformed variable having more desirable properties (appears to have a normal distribution).

Additionally, we employed a LASSO model with penalty = 0.05, which is a “strict” penalty as it removed over 75% of our initially selected variables. Here is a list of selected variables which will appear in recipes to predict the value of our outcome variable:

Data summary
Name train[, 2:11]
Number of rows 1851
Number of columns 10
_______________________
Column type frequency:
numeric 10
________________________
Group variables None

Variable type: numeric

skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100
estimate_sex_and_age_under_5_years 0 1.00 1755.57 1522.48 0.0 645.0 1435.0 2405.5 12098.0
estimate_sex_and_age_15_to_19_years 0 1.00 1740.16 1504.89 0.0 643.0 1412.0 2404.0 10857.0
estimate_sex_and_age_85_years_and_over 0 1.00 479.44 417.72 0.0 175.0 389.0 683.5 2984.0
estimate_sex_and_age_median_age_years 60 0.97 38.03 6.11 19.7 34.2 37.8 41.9 84.3
estimate_sex_and_age_65_years_and_over_female 0 1.00 1948.40 1465.90 0.0 860.0 1728.0 2719.5 9874.0
estimate_race_one_race_asian_asian_indian 0 1.00 513.94 1125.96 0.0 33.0 178.0 535.5 18105.0
estimate_race_one_race_asian_filipino 0 1.00 388.92 994.32 0.0 19.0 108.0 370.0 18269.0
estimate_race_one_race_asian_japanese 0 1.00 110.76 280.93 0.0 0.0 25.0 117.5 6036.0
estimate_race_one_race_asian_korean 0 1.00 279.26 748.10 0.0 10.0 79.0 265.0 12416.0
estimate_race_one_race_asian_vietnamese 0 1.00 229.89 560.85 0.0 0.0 44.0 188.5 9233.0

A complete skim of the selected predictors is listed in the appendix. There are also a few variables which have missing values, which need to be imputed. We will either use both KNN or Bagged Tree methods, and evaluate to see which method of imputation is more appropriate for this particular dataset.

Other Steps

Dimensionality reduction using PCA, z-score normalization processes, NZV step, do we want to transform some of the outcome variables? we could do it through boxcox/Yeo-Johnson idk. also could throw in some interaction terms if we want to be fancy lol (probably shouldn’t but maybe it will make them impressed!!) Not sure what other feature engineering things we could do though honestly

Assessment Measures

RMSE, but we will use R-Squared or some other thing like CCC to report.

Current Results

Null Model

This table is definitely overkill I just copied the code from below lmao

Null Model
mean Standard Error
0.893 0.00566

Random Forest Model

Random Forest Tuning Results
Grid Search Method
mtry min_n mean Standard Error
1 2 0.592 0.00558
30 2 0.561 0.00607
60 2 0.559 0.00616
90 2 0.559 0.00614
120 2 0.560 0.00625
1 11 0.598 0.00564

Moving Forward

How long did these take? null one took like 30 seconds maybe??

issues should go here

We’re also going to fit KNN, Elastic Net, Boosted Tree, MARS, SVM, whatever else we can honestly, we might also try using iterative search with bayesian optimization!! how exciting.

Appendix

Full Skim of Selected Variables

Data summary
Name train
Number of rows 1851
Number of columns 139
_______________________
Column type frequency:
factor 1
numeric 138
________________________
Group variables None

Variable type: factor

skim_variable n_missing complete_rate ordered n_unique top_counts
zip_code 0 1 FALSE 1851 017: 1, 017: 1, 017: 1, 017: 1

Variable type: numeric

skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100
estimate_sex_and_age_under_5_years 0 1.00 1755.57 1522.48 0.00 645.00 1435.00 2405.50 12098.00
estimate_sex_and_age_15_to_19_years 0 1.00 1740.16 1504.89 0.00 643.00 1412.00 2404.00 10857.00
estimate_sex_and_age_85_years_and_over 0 1.00 479.44 417.72 0.00 175.00 389.00 683.50 2984.00
estimate_sex_and_age_median_age_years 60 0.97 38.03 6.11 19.70 34.20 37.80 41.90 84.30
estimate_sex_and_age_65_years_and_over_female 0 1.00 1948.40 1465.90 0.00 860.00 1728.00 2719.50 9874.00
estimate_race_one_race_asian_asian_indian 0 1.00 513.94 1125.96 0.00 33.00 178.00 535.50 18105.00
estimate_race_one_race_asian_filipino 0 1.00 388.92 994.32 0.00 19.00 108.00 370.00 18269.00
estimate_race_one_race_asian_japanese 0 1.00 110.76 280.93 0.00 0.00 25.00 117.50 6036.00
estimate_race_one_race_asian_korean 0 1.00 279.26 748.10 0.00 10.00 79.00 265.00 12416.00
estimate_race_one_race_asian_vietnamese 0 1.00 229.89 560.85 0.00 0.00 44.00 188.50 9233.00
estimate_race_one_race_native_hawaiian_and_other_pacific_islander_samoan 0 1.00 11.77 64.14 0.00 0.00 0.00 0.00 1049.00
estimate_race_two_or_more_races_white_and_black_or_african_american 0 1.00 175.10 199.65 0.00 34.00 115.00 245.00 1443.00
estimate_race_two_or_more_races_white_and_asian 0 1.00 219.68 268.21 0.00 25.00 128.00 316.00 1972.00
estimate_hispanic_or_latino_and_race_total_population_hispanic_or_latino_of_any_race_puerto_rican 0 1.00 714.27 1932.54 0.00 56.00 176.00 484.00 23773.00
estimate_hispanic_or_latino_and_race_total_population_hispanic_or_latino_of_any_race_cuban 0 1.00 513.89 3161.36 0.00 11.00 56.00 145.00 58881.00
estimate_hispanic_or_latino_and_race_total_population_not_hispanic_or_latino_american_indian_and_alaska_native_alone 0 1.00 54.95 80.06 0.00 0.00 23.00 77.00 743.00
estimate_hispanic_or_latino_and_race_total_population_not_hispanic_or_latino_two_or_more_races_two_races_including_some_other_race 0 1.00 40.03 79.11 0.00 0.00 14.00 48.00 1340.00
estimate_citizen_voting_age_population_citizen_18_and_over_population_male 0 1.00 8490.30 5751.70 0.00 4066.50 7921.00 11783.00 31328.00
estimate_units_in_structure_total_housing_units_1_unit_detached 0 1.00 4938.43 4226.77 0.00 1630.00 4148.00 7217.00 32679.00
estimate_units_in_structure_total_housing_units_1_unit_attached 0 1.00 1028.17 1816.51 0.00 155.00 495.00 1148.50 20951.00
estimate_units_in_structure_total_housing_units_20_or_more_units 0 1.00 2493.54 4127.77 0.00 253.00 1056.00 2753.00 39702.00
estimate_year_structure_built_total_housing_units_built_2020_or_later 0 1.00 18.86 46.29 0.00 0.00 0.00 20.00 647.00
estimate_year_structure_built_total_housing_units_built_1990_to_1999 0 1.00 1043.65 1260.87 0.00 231.50 623.00 1407.50 10629.00
estimate_year_structure_built_total_housing_units_built_1980_to_1989 0 1.00 1233.41 1383.77 0.00 309.50 781.00 1651.00 10065.00
estimate_year_structure_built_total_housing_units_built_1970_to_1979 0 1.00 1452.87 1439.47 0.00 403.50 1013.00 2070.50 10365.00
estimate_year_structure_built_total_housing_units_built_1939_or_earlier 0 1.00 2144.52 3640.32 0.00 134.00 560.00 2542.50 28861.00
estimate_rooms_total_housing_units_2_rooms 0 1.00 571.47 844.03 0.00 74.50 268.00 705.00 8456.00
estimate_bedrooms_total_housing_units_no_bedroom 0 1.00 568.85 996.01 0.00 61.00 230.00 637.50 11616.00
estimate_bedrooms_total_housing_units_5_or_more_bedrooms 0 1.00 553.98 650.65 0.00 142.00 352.00 736.00 6731.00
estimate_housing_tenure_occupied_housing_units_average_household_size_of_owner_occupied_unit 92 0.95 2.76 0.49 1.19 2.50 2.76 3.03 5.72
estimate_year_householder_moved_into_unit_occupied_housing_units_moved_in_2015_to_2018 0 1.00 3152.58 2494.20 0.00 1233.50 2681.00 4512.00 16419.00
estimate_house_heating_fuel_occupied_housing_units_electricity 0 1.00 3438.97 3621.25 0.00 730.50 2308.00 4986.50 24566.00
estimate_house_heating_fuel_occupied_housing_units_coal_or_coke 0 1.00 2.47 10.41 0.00 0.00 0.00 0.00 212.00
estimate_house_heating_fuel_occupied_housing_units_solar_energy 0 1.00 16.41 34.93 0.00 0.00 0.00 18.00 349.00
estimate_house_heating_fuel_occupied_housing_units_other_fuel 0 1.00 51.46 113.70 0.00 0.00 15.00 51.00 1578.00
estimate_house_heating_fuel_occupied_housing_units_no_fuel_used 0 1.00 194.48 419.82 0.00 11.00 52.00 177.50 7418.00
estimate_selected_characteristics_occupied_housing_units_lacking_complete_plumbing_facilities 0 1.00 39.98 74.94 0.00 0.00 17.00 52.00 1161.00
estimate_occupants_per_room_occupied_housing_units_1_51_or_more 0 1.00 221.61 367.70 0.00 16.00 91.00 252.00 3352.00
estimate_value_owner_occupied_units_50_000_to_99_999 0 1.00 190.15 442.52 0.00 9.00 47.00 150.00 5298.00
estimate_selected_monthly_owner_costs_smoc_housing_units_with_a_mortgage_3_000_or_more 0 1.00 1182.87 1271.23 0.00 187.50 764.00 1782.50 8016.00
estimate_selected_monthly_owner_costs_smoc_housing_units_without_a_mortgage_median_dollars 260 0.86 826.58 279.56 108.00 608.50 789.00 1016.50 1499.00
estimate_selected_monthly_owner_costs_as_a_percentage_of_household_income_smocapi_housing_units_with_a_mortgage_excluding_units_where_smocapi_cannot_be_computed_20_0_to_24_9_percent 0 1.00 579.58 484.35 0.00 211.00 486.00 835.00 3146.00
estimate_selected_monthly_owner_costs_as_a_percentage_of_household_income_smocapi_housing_units_with_a_mortgage_excluding_units_where_smocapi_cannot_be_computed_25_0_to_29_9_percent 0 1.00 408.88 343.70 0.00 151.00 346.00 582.50 2611.00
estimate_selected_monthly_owner_costs_as_a_percentage_of_household_income_smocapi_housing_units_with_a_mortgage_excluding_units_where_smocapi_cannot_be_computed_35_0_percent_or_more 0 1.00 948.68 750.92 0.00 388.50 819.00 1355.00 6094.00
estimate_selected_monthly_owner_costs_as_a_percentage_of_household_income_smocapi_housing_units_with_a_mortgage_excluding_units_where_smocapi_cannot_be_computed_not_computed 0 1.00 19.31 31.15 0.00 0.00 7.00 27.00 354.00
estimate_selected_monthly_owner_costs_as_a_percentage_of_household_income_smocapi_housing_unit_without_a_mortgage_excluding_units_where_smocapi_cannot_be_computed_35_0_percent_or_more 0 1.00 264.74 238.26 0.00 100.00 207.00 364.00 1876.00
estimate_gross_rent_occupied_units_paying_rent_500_to_999 0 1.00 666.67 1046.28 0.00 74.00 281.00 800.50 12697.00
estimate_gross_rent_occupied_units_paying_rent_2_000_to_2_499 0 1.00 610.44 781.72 0.00 69.50 324.00 857.50 5507.00
estimate_gross_rent_occupied_units_paying_rent_2_500_to_2_999 0 1.00 280.75 453.07 0.00 12.00 108.00 327.00 3460.00
estimate_gross_rent_as_a_percentage_of_household_income_grapi_occupied_units_paying_rent_excluding_units_where_grapi_cannot_be_computed_not_computed 0 1.00 236.25 256.73 0.00 58.50 161.00 321.00 2480.00
families_estimate_total 0 1.00 6280.79 4521.66 0.00 2820.50 5749.00 8674.50 25289.00
nonfamily_households_estimate_total 0 1.00 3614.96 3244.02 0.00 1372.00 2802.00 5035.00 25743.00
married_couple_families_estimate_less_than_10_000 80 0.96 1.66 1.74 0.00 0.50 1.20 2.20 19.10
married_couple_families_estimate_10_000_to_14_999 80 0.96 1.71 2.15 0.00 0.40 1.10 2.40 36.00
nonfamily_households_estimate_35_000_to_49_999 84 0.95 13.30 5.38 0.00 10.20 13.00 16.00 100.00
families_estimate_75_000_to_99_999 79 0.96 12.78 5.88 0.00 9.67 12.60 15.40 100.00
households_estimate_100_000_to_149_999 78 0.96 15.35 6.29 0.00 11.30 15.70 19.30 100.00
nonfamily_households_estimate_100_000_to_149_999 84 0.95 9.45 6.40 0.00 5.00 8.80 12.70 100.00
nonfamily_households_estimate_150_000_to_199_999 84 0.95 3.40 3.59 0.00 1.00 2.50 4.70 44.90
nonfamily_households_estimate_200_000_or_more 84 0.95 3.80 5.53 0.00 0.60 2.00 4.80 100.00
households_estimate_median_income_dollars 91 0.95 72729.43 32575.31 11705.00 48333.00 67820.00 89823.50 226386.00
married_couple_families_estimate_mean_income_dollars 1703 0.08 84496.06 25921.39 41660.00 64955.50 82090.00 97127.50 179533.00
households_estimate_percent_imputed_household_income_in_the_past_12_months 78 0.96 32.72 9.25 0.00 26.60 31.50 37.50 100.00
families_estimate_percent_imputed_family_income_in_the_past_12_months 79 0.96 33.76 10.05 0.00 26.90 32.70 39.32 100.00
count_open_parks 0 1.00 13.86 14.24 0.00 4.00 10.00 19.00 180.00
count_open_parks_tc10 0 1.00 7.26 3.48 0.00 4.00 10.00 10.00 10.00
count_open_parks_tc5 0 1.00 4.22 1.52 0.00 4.00 5.00 5.00 5.00
count_open_parks_tc3 0 1.00 2.82 0.98 0.00 3.00 3.00 3.00 5.00
prop_park_area_zcta 0 1.00 0.08 0.11 0.00 0.02 0.04 0.10 1.00
total_estimate_age_16_to_19_years 61 0.97 2.60 3.55 0.00 1.40 2.10 3.00 53.50
car_truck_or_van_carpooled_estimate_age_16_to_19_years 93 0.95 4.39 5.87 0.00 0.80 3.10 5.88 100.00
total_estimate_age_25_to_44_years 61 0.97 45.38 10.93 0.00 39.42 45.30 51.00 100.00
car_truck_or_van_drove_alone_estimate_age_45_to_54_years 66 0.96 22.78 6.49 0.00 20.10 23.20 26.20 100.00
car_truck_or_van_drove_alone_estimate_age_60_years_and_over 66 0.96 12.22 6.09 0.00 8.70 11.30 14.70 81.50
car_truck_or_van_carpooled_estimate_age_60_years_and_over 93 0.95 10.04 8.39 0.00 5.20 8.40 12.70 100.00
total_estimate_sex_male 61 0.97 53.09 6.02 0.00 50.50 53.00 55.60 100.00
car_truck_or_van_drove_alone_estimate_sex_male 66 0.96 53.89 6.99 0.00 50.60 53.30 56.60 100.00
car_truck_or_van_carpooled_estimate_sex_male 93 0.95 52.09 11.95 0.00 45.60 51.80 58.27 100.00
total_estimate_sex_female 61 0.97 46.91 6.02 0.00 44.40 47.00 49.50 100.00
car_truck_or_van_drove_alone_estimate_sex_female 66 0.96 46.11 6.99 0.00 43.40 46.70 49.40 100.00
car_truck_or_van_carpooled_estimate_sex_female 93 0.95 47.91 11.95 0.00 41.73 48.20 54.40 100.00
total_estimate_race_and_hispanic_or_latino_origin_one_race 61 0.97 97.71 1.62 85.70 96.90 98.00 98.80 100.00
car_truck_or_van_carpooled_estimate_race_and_hispanic_or_latino_origin_one_race_asian 93 0.95 13.03 16.33 0.00 1.40 7.40 18.20 100.00
total_estimate_race_and_hispanic_or_latino_origin_two_or_more_races 61 0.97 2.29 1.62 0.00 1.20 2.00 3.10 14.30
car_truck_or_van_carpooled_estimate_language_spoken_at_home_and_ability_to_speak_english_speak_language_other_than_english_speak_english_very_well 93 0.95 21.19 14.21 0.00 10.80 19.80 29.60 100.00
car_truck_or_van_carpooled_estimate_earnings_in_the_past_12_months_in_2015_inflation_adjusted_dollars_for_workers_workers_16_years_and_over_with_earnings_10_000_to_14_999 93 0.95 7.76 6.04 0.00 3.50 6.80 11.17 44.00
car_truck_or_van_carpooled_estimate_earnings_in_the_past_12_months_in_2015_inflation_adjusted_dollars_for_workers_workers_16_years_and_over_with_earnings_25_000_to_34_999 93 0.95 12.76 8.08 0.00 7.70 12.50 17.10 100.00
total_estimate_earnings_in_the_past_12_months_in_2015_inflation_adjusted_dollars_for_workers_workers_16_years_and_over_with_earnings_35_000_to_49_999 61 0.97 14.22 4.45 0.00 11.90 14.45 16.80 55.00
car_truck_or_van_carpooled_estimate_earnings_in_the_past_12_months_in_2015_inflation_adjusted_dollars_for_workers_workers_16_years_and_over_with_earnings_35_000_to_49_999 93 0.95 13.54 8.36 0.00 8.83 13.00 17.30 100.00
car_truck_or_van_carpooled_estimate_earnings_in_the_past_12_months_in_2015_inflation_adjusted_dollars_for_workers_workers_16_years_and_over_with_earnings_50_000_to_64_999 93 0.95 10.43 7.57 0.00 5.80 9.60 13.80 100.00
car_truck_or_van_drove_alone_estimate_earnings_in_the_past_12_months_in_2015_inflation_adjusted_dollars_for_workers_workers_16_years_and_over_with_earnings_65_000_to_74_999 66 0.96 5.52 2.54 0.00 4.10 5.60 6.90 36.30
car_truck_or_van_carpooled_estimate_poverty_status_in_the_past_12_months_workers_16_years_and_over_for_whom_poverty_status_is_determined_at_or_above_150_percent_of_the_poverty_level 105 0.94 85.56 11.82 0.00 78.40 88.20 94.70 100.00
total_estimate_workers_16_years_and_over_occupation_management_business_science_and_arts_occupations 61 0.97 42.75 17.00 0.00 29.52 41.80 55.85 100.00
car_truck_or_van_drove_alone_estimate_workers_16_years_and_over_occupation_management_business_science_and_arts_occupations 66 0.96 43.58 16.89 0.00 30.80 41.80 56.10 100.00
car_truck_or_van_carpooled_estimate_workers_16_years_and_over_occupation_management_business_science_and_arts_occupations 93 0.95 38.21 20.32 0.00 23.10 35.00 51.20 100.00
car_truck_or_van_drove_alone_estimate_workers_16_years_and_over_occupation_service_occupations 66 0.96 15.63 7.70 0.00 11.20 15.20 19.50 100.00
car_truck_or_van_drove_alone_estimate_workers_16_years_and_over_occupation_sales_and_office_occupations 66 0.96 23.19 5.80 0.00 20.30 23.70 26.50 64.30
car_truck_or_van_carpooled_estimate_industry_agriculture_forestry_fishing_and_hunting_and_mining 93 0.95 0.80 2.30 0.00 0.00 0.00 0.50 33.90
total_estimate_industry_manufacturing 61 0.97 7.61 4.33 0.00 4.50 6.90 10.20 33.30
car_truck_or_van_carpooled_estimate_industry_information_and_finance_and_insurance_and_real_estate_and_rental_and_leasing 93 0.95 8.46 8.95 0.00 3.50 6.60 10.90 100.00
car_truck_or_van_drove_alone_estimate_industry_professional_scientific_management_and_administrative_and_waste_management_services 66 0.96 12.90 6.63 0.00 9.20 11.60 15.20 100.00
car_truck_or_van_carpooled_estimate_industry_professional_scientific_management_and_administrative_and_waste_management_services 93 0.95 13.03 8.93 0.00 7.70 11.80 16.80 100.00
car_truck_or_van_drove_alone_estimate_industry_educational_services_and_health_care_and_social_assistance 66 0.96 24.45 7.84 0.00 19.60 23.40 28.60 100.00
car_truck_or_van_carpooled_estimate_industry_educational_services_and_health_care_and_social_assistance 93 0.95 22.83 12.47 0.00 14.70 21.55 28.70 100.00
total_estimate_industry_arts_entertainment_and_recreation_and_accommodation_and_food_services 61 0.97 9.12 3.96 0.00 6.70 8.50 10.80 51.70
car_truck_or_van_carpooled_estimate_industry_arts_entertainment_and_recreation_and_accommodation_and_food_services 93 0.95 10.13 8.14 0.00 5.40 9.10 13.00 100.00
total_estimate_industry_other_services_except_public_administration 61 0.97 5.14 2.09 0.00 3.90 5.00 6.10 17.10
car_truck_or_van_drove_alone_estimate_industry_other_services_except_public_administration 66 0.96 4.94 2.18 0.00 3.70 4.90 6.00 19.30
total_estimate_industry_public_administration 61 0.97 4.51 3.70 0.00 2.40 3.60 5.20 32.80
car_truck_or_van_drove_alone_estimate_class_of_worker_self_employed_workers_in_own_not_incorporated_business 66 0.96 5.31 3.93 0.00 3.30 4.70 6.60 100.00
car_truck_or_van_carpooled_estimate_class_of_worker_self_employed_workers_in_own_not_incorporated_business 93 0.95 6.56 6.54 0.00 2.50 5.30 9.20 100.00
total_estimate_class_of_worker_unpaid_family_workers 61 0.97 0.13 0.22 0.00 0.00 0.10 0.20 3.30
car_truck_or_van_drove_alone_estimate_class_of_worker_unpaid_family_workers 66 0.96 0.09 0.22 0.00 0.00 0.00 0.10 3.30
car_truck_or_van_carpooled_estimate_class_of_worker_unpaid_family_workers 93 0.95 0.26 0.96 0.00 0.00 0.00 0.00 18.10
total_estimate_place_of_work_worked_in_state_of_residence 61 0.97 93.98 10.58 24.90 94.90 98.60 99.40 100.00
car_truck_or_van_drove_alone_estimate_place_of_work_worked_in_state_of_residence_worked_in_county_of_residence 66 0.96 65.47 21.35 0.00 49.70 64.10 85.90 100.00
car_truck_or_van_drove_alone_estimate_place_of_work_worked_in_state_of_residence_worked_outside_county_of_residence 66 0.96 28.47 19.62 0.00 8.80 28.30 43.30 100.00
total_estimate_place_of_work_worked_outside_state_of_residence 61 0.97 6.02 10.58 0.00 0.60 1.40 5.10 75.10
car_truck_or_van_carpooled_estimate_workers_16_years_and_over_who_did_not_work_at_home_time_leaving_home_to_go_to_work_6_00_a_m_to_6_29_a_m 93 0.95 9.15 7.35 0.00 3.80 8.25 13.20 66.10
total_estimate_workers_16_years_and_over_who_did_not_work_at_home_time_leaving_home_to_go_to_work_8_30_a_m_to_8_59_a_m 61 0.97 7.13 4.71 0.00 4.30 6.10 9.07 100.00
car_truck_or_van_drove_alone_estimate_workers_16_years_and_over_who_did_not_work_at_home_time_leaving_home_to_go_to_work_8_30_a_m_to_8_59_a_m 66 0.96 6.97 4.12 0.00 4.30 6.30 9.00 54.50
car_truck_or_van_carpooled_estimate_workers_16_years_and_over_who_did_not_work_at_home_time_leaving_home_to_go_to_work_8_30_a_m_to_8_59_a_m 93 0.95 6.15 7.37 0.00 1.63 4.45 8.30 100.00
total_estimate_workers_16_years_and_over_who_did_not_work_at_home_time_leaving_home_to_go_to_work_9_00_a_m_to_11_59_p_m 61 0.97 25.29 7.33 0.00 21.30 24.70 28.20 100.00
car_truck_or_van_drove_alone_estimate_travel_time_to_work_less_than_10_minutes 66 0.96 8.13 5.73 0.00 4.90 7.50 10.40 100.00
total_estimate_travel_time_to_work_15_to_19_minutes 61 0.97 12.69 4.98 0.00 9.90 12.50 15.30 100.00
total_estimate_travel_time_to_work_20_to_24_minutes 61 0.97 13.59 4.30 0.00 11.10 13.65 16.10 36.50
total_estimate_travel_time_to_work_25_to_29_minutes 61 0.97 5.91 2.45 0.00 4.50 5.80 7.20 30.70
car_truck_or_van_drove_alone_estimate_travel_time_to_work_30_to_34_minutes 66 0.96 17.11 5.75 0.00 13.80 16.80 20.20 100.00
car_truck_or_van_carpooled_estimate_travel_time_to_work_30_to_34_minutes 93 0.95 16.77 9.98 0.00 10.40 16.40 21.90 100.00
car_truck_or_van_drove_alone_estimate_travel_time_to_work_35_to_44_minutes 66 0.96 8.55 3.81 0.00 6.50 8.30 10.40 54.20
total_estimate_travel_time_to_work_45_to_59_minutes 61 0.97 10.82 5.48 0.00 7.70 10.30 13.40 100.00
car_truck_or_van_carpooled_estimate_travel_time_to_work_45_to_59_minutes 93 0.95 11.30 8.94 0.00 5.90 9.90 15.30 100.00
car_truck_or_van_drove_alone_estimate_vehicles_available_no_vehicle_available 81 0.96 2.35 4.62 0.00 0.70 1.20 2.10 56.90
total_estimate_vehicles_available_1_vehicle_available 79 0.96 25.65 12.00 0.00 16.40 24.10 33.73 100.00
car_truck_or_van_drove_alone_estimate_vehicles_available_1_vehicle_available 81 0.96 26.84 16.02 0.00 15.10 22.70 34.18 100.00
car_truck_or_van_drove_alone_estimate_vehicles_available_2_vehicles_available 81 0.96 42.18 10.24 0.00 38.20 43.30 48.10 100.00
total_estimate_percent_imputed_time_leaving_home_to_go_to_work 61 0.97 17.82 6.37 0.00 14.00 16.70 20.30 100.00
log_gbdex 0 1.00 -0.13 0.89 -2.00 -0.30 0.11 0.40 1.83